Describes the integration of predictive analytics with real-time big data, its significance, the business potential to operationalize it for making decisions, solving problems, and identifying opportunities, and how Intel can help.

Integrating personalized medicine and health into clinical practice requires policy and practice changes, which are today being led by academic medical institutions, technology corporations, and policymakers worldwide.

White Paper: Joint solutions from Intel and IBM enable powerful big data analytics that prevent credit card fraud and other security breaches without the need of a supercomputer or team of data scientists.

Intel’s perspective on distributed data mining with big data—the analytics of data generated by sensors and devices on the edge of networks. Includes use cases for government, retail, automotive, and manufacturing.

A Data Hub Architecture built on Intel® technologies can process multiple data formats in real time to deliver immediate analytics and insights, helping businesses quickly react to—and even predict—outcomes for improved decision making